The present invention pertains to an aroma component assessment method and a method for preparing a fragrance composition using said assessment method. The present invention provides a fragrance composition appropriate for a product in consideration of usage conditions of the product. For that purpose, the present invention involves: making measurements of the rate of concentration increase (i.e., detection quantity a of aroma component after lapse of a predetermined time after start of measurement/detection quantity b of aroma component immediately after the start of detection) of aroma released within a prescribed time range for each of two or more types of aroma components contained in a product within a consumption environment of said product or within a model environment thereof; and assessing the impact of the aroma components contained in the product on fragrance impressions of the product, using the magnitude relationship in the aroma concentration increase rate of the two types or more aroma components, as an index correlated with the magnitude relationship of the impacts on fragrance impressions of the product, so as to make objective and appropriate assessments of the impacts of the aroma components contained in the product on fragrance impression.

An odor detection device (1) includes an odor sensor (10), environmental information measurement means (11, 12), odor information collection means (20), difference information acquisition means (21), and correction means (22). The odor sensor (10) detects information on an odor emitted from an odor source (2). The environmental information measurement means (11, 12) measures information on an environment, correlated with the amount of water vapor contained in surrounding gas. The difference information acquisition means (21) acquires the difference amount of water vapor, indicating a difference between information on an environment surrounding the odor sensor (10) and information on an environment surrounding the odor source (2). The correction means (22) corrects information on an odor, collected by the odor information collection means (20), on the basis of difference information acquired by the difference information acquisition means (21).

A converter module handles memory requests issued by a cache (e.g. an on-chip cache), where these memory requests include memory addresses defined within a virtual memory space. The converter module receives these requests, issues each request with a transaction identifier and uses that identifier to track the status of the memory request. The converter module sends requests for address translation to a memory management unit and where there the translation is not available in the memory management unit receives further memory requests from the memory management unit. The memory requests are issued to a memory via a bus and the transaction identifier for a request is freed once the response has been received from the memory. When issuing memory requests onto the bus, memory requests received from the memory management unit may be prioritized over those received from the cache.

Systems, devices, and methods for receiving, by a ground control station (GCS) having a processor with addressable memory, a plurality of point source gas concentration measurements; receiving, by the GCS, a meteorological data corresponding to each point source concentration gas measurement; determining, by the GCS, if each point source gas concentration measurement is an elevated ambient gas concentration; generating, by the GCS, a back trajectory for each elevated ambient gas concentration; storing, by the GCS, the position of each generated back trajectory in a grid; determining, by the GCS, a probability of a gas source location corresponding to the stored positions in the grid; and generating, by the GCS, an overlay showing the probability of the gas source location.

A fluid quality tracing method includes obtaining pieces of fluid concentration distribution data of a detected region corresponding to detection time points respectively, generating pieces of concentration grid data respectively according to the pieces of fluid concentration distribution data, obtaining pieces of fluid moving data of the detected region corresponding to the detection time points respectively, obtaining estimated positions according to the fluid moving data and an initial position, and creating a fluid concentration trajectory according to the pieces of concentration grid data, the initial position and the estimated positions. The initial position and the estimated positions are located in the detected region. The fluid concentration trajectory includes line segments with terminals corresponding to the initial position and the estimated positions respectively, and the line segments indicate concentration representative values respectively.

A converter module handles memory requests issued by a cache (e.g. an on-chip cache), where these memory requests include memory addresses defined within a virtual memory space. The converter module receives these requests, issues each request with a transaction identifier and uses that identifier to track the status of the memory request. The converter module sends requests for address translation to a memory management unit and where there the translation is not available in the memory management unit receives further memory requests from the memory management unit. The memory requests are issued to a memory via a bus and the transaction identifier for a request is freed once the response has been received from the memory. When issuing memory requests onto the bus, memory requests received from the memory management unit may be prioritized over those received from the cache.

Methods and systems for detecting subsurface high-pressure helium or hydrogen reservoirs are described. Various methods and systems analyze helium or hydrogen concentrations in rocks to identify and determine the purity of helium or hydrogen in subsurface reservoirs.

Provided is a fecal gas analysis method for Bristol stool type classification and body condition analysis, and more particularly, to a fecal gas component ratio analysis method capable of classifying Bristol stool types and analyzing body conditions based on the component ratio of each fecal gas. The fecal gas component ratio analysis method for Bristol stool type classification and body condition analysis enables classification of Bristol stool types regardless of measurement time, subject, diet, age, or stool weight, and also allows identification of an individual's dietary habits. Therefore, the analysis method can be applied to personal health monitoring based on Bristol stool type classification.

A system for smoke/fire discrimination and identification of the fire source is provided. The system comprises a control unit that is configured to receive data pertaining to gases present in the smoke generated by a burning material and receive data pertaining to temporal characteristics of fire caused by the burning material. The control unit identifies the burning material based on the data pertaining to the one or more gas and the data pertaining to temporal characteristics of fire; and trigger a fire event based on the identified burning material. The control unit identifies and classifies the burning material as one of the known burning materials based on matching of the detected gas and the captured temporal characteristics with the database.

In order to provide a novel determination device capable of determining the type of excretion by a subject and a related technology thereof, a determination device includes at least one processor, and the at least one processor carries out a determination process of determining the type of excretion by a subject by referring to a first gas concentration detected by a first gas sensor and a second gas concentration detected by a second gas sensor which differs from the first gas sensor in gas species to be mainly detected.